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Data Engineer

Qode • Bachelor's Degree • SQL • ETL/ELT • 8 months ago

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Salary

≈ $108k – $231k per year (Estimated)

Location

In office (United States)

Employment

Full-Time

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Feb 10, 2026. Qode scores B on the Alion truth index.

Overview

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Qode

Qode is a recruitment company based in Dubai that places technology, engineering, finance and commercial professionals with employers across the Gulf and wider Middle East. It works on permanent placement, executive search and contract staffing, and it uses its own assessment and matching tooling to shortlist candidates rather than relying entirely on recruiter judgement. Based in Dubai, it advertises client vacancies under its own name rather than the hiring employer's, and much of its work involves relocating candidates into the region, which makes visa sponsorship and timing a routine part of every placement.

qode.world • HQ: Dubai, United Arab Emirates • Recruiting & Staffing • Professional Services • 51-200 employees

Job Title: Data Engineer - MEM SQL

Location: New Jersey / Irving, TX / Tampa, FL

Job Description:

We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms.

Responsibilities:

Design, develop, and maintain scalable data pipelines and ETL processes
Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing
Optimize database performance, queries, and data models
Collaborate with data scientists, analysts, and application teams to support data needs
Ensure data quality, reliability, and security across data platforms
Monitor and troubleshoot data pipeline and system issues
Support data migration and integration activities

Required Skills:

Strong experience as a Data Engineer
Hands-on experience with MEM SQL (SingleStore)
Strong SQL skills and database optimization experience
Experience with ETL tools and data pipeline frameworks
Knowledge of data modeling and data warehousing concepts
Experience working with large datasets and real-time data processing

Preferred Skills:

Experience with cloud platforms (AWS / Azure / GCP)
Knowledge of Big Data technologies (Spark, Kafka, etc.)
Telecom domain experience (preferred, not mandatory)

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